Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations

Weiβ, Andreas; Karastoyanova, Dimka

doi:10.1007/s00607-014-0432-7

Cited by 14 publications

(12 citation statements)

References 31 publications

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“…Fig. 6 shows the realization of our choreography modeling tool, the ChorDesigner [12], and its support of the insertion method. Extracted choreography fragments can be displayed by clicking on the fragment entry in the palette.…”

Section: Discussionmentioning

confidence: 99%

Enabling the Extraction and Insertion of Reusable Choreography Fragments

Weiß¹,

Andrikopoulos

Hahn

et al. 2015

2015 IEEE International Conference on Web Services

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Section: Discussionmentioning

confidence: 99%

Enabling the Extraction and Insertion of Reusable Choreography Fragments

Weiß¹,

Andrikopoulos

Hahn

et al. 2015

2015 IEEE International Conference on Web Services

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“…An overview of the entire prototype is shown in Fig. 6: Application developers use Winery to merge existing topology models, while application managers use the choreography modelling tool ChorDesigner (Weiß and Karastoyanova, 2014) to coordinate the associated management workflows.…”

Section: Validationmentioning

confidence: 99%

A Method for Reusing TOSCA-based Applications and Management Plans

Wagner

Breitenbücher

Leymann

2016

Proceedings of the 6th International Conference on Cloud Computing and Services Science

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The automated provisioning and management of Cloud applications is supported by various general-purpose technologies that provide generic management functionalities such as scaling components or automatically redeploying parts of a Cloud application. However, if complex applications have to be managed, these technologies reach their limits and individual, application-specific processes must be created to automate the execution of holistic management tasks that cannot be implemented in a generic manner. Unfortunately, creating such processes from scratch is time-consuming, error-prone, and knowledge-intensive, thus, leading to inefficient developments of new applications. In this paper, we present an approach that tackles these issues by enabling the usage of choreographies to systematically combine available management workflows of existing application building blocks. Moreover, we show how these choreographies can be merged into single, executable workflows in order to enable their automated execution. To validate the approach, we apply the concept to the choreography language BPEL4CHOR and the Cloud standard TOSCA. In addition, we extend the Cloud application management ecosystem OpenTOSCA to support executing management choreographies.

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“…A known limitation of this approach, however, is the insufficient support for multi-scale/multi-field, also known as multi-* experiments, that recent works are addressing [5], [6]. Multi-scale experiments couple different length or time scales within the same experiment, e.g.…”

mentioning

confidence: 99%

“…Every scale and every distinct field is modeled as an independent choreography participant. This corresponds to the fact that multi-* experiments typically involve scientists from different disciplines and organizations having diverse expertise [5]. Fig.…”

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confidence: 99%

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Model-as-You-Go for Choreographies: Rewinding and Repeating Scientific Choreographies

Weis

Andrikopoulos

Hahn

et al. 2020

IEEE Trans. Serv. Comput.

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Scientists are increasingly using the workflow technology as a means for modeling and execution of scientific experiments. Despite being a very powerful paradigm workflows still lack support for trial-and-error modeling, as well as flexibility mechanisms that enable the ad hoc repetition of experiment logic to enable, for example, the convergence of results or to handle errors. In this respect, in our work on enabling multi-scale/field (multi-*) experiments using choreographies of scientific workflows, we contribute a method comprising all necessary steps to conduct the repetition of choreography logic across all workflow instances participating in a multi-* experiment. To realize the method, we contribute i) a formal model representing choreography models and instances, including the re-execute and iterate operations for choreographies, and based on it ii) algorithms for determining the rewinding points, i.e. the activity instances where the rewinding has to stop and iii) enable the actual rewinding to a previous execution state and repetition of the choreography. We present the implementation of our approach in a message-based, service-oriented system that allows scientists to model, control, and execute scientific choreographies as well as perform the rewinding and repeating of choreography logic. We also provide an evaluation of the performance of our approach.

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Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations

Cited by 14 publications

References 31 publications

Enabling the Extraction and Insertion of Reusable Choreography Fragments

Enabling the Extraction and Insertion of Reusable Choreography Fragments

A Method for Reusing TOSCA-based Applications and Management Plans

Model-as-You-Go for Choreographies: Rewinding and Repeating Scientific Choreographies

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